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Record W2144414669 · doi:10.1177/2158244013500279

Hospitalization, Later Onset of the Disease, and Psychological Problems of Chronically Ill Children

2013· article· en· W2144414669 on OpenAlexaff
Ashiq Ali Shah, Azizah Othman

Bibliographic record

VenueSAGE Open · 2013
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsDiseaseChecklistPsychologyClinical psychologyMedicineDevelopmental psychologyPsychiatryPediatrics

Abstract

fetched live from OpenAlex

This study examined disease-related variables that are thought to play some role in exacerbating psychological problems among chronically ill children. The participants included 63 parents of children suffering from cancer, epilepsy, and asthma. The parents rated their children’s behavioral and emotional problems and provided information on the frequency of hospitalization, onset, and duration of the illness and the age of the child at the disease onset. The Child Behavior Checklist was used. Multiple-regression analysis and correlations were computed to determine the relationship of disease-related variables to the psychological problems of the children. One-way, between-subject ANOVA was used to analyze the psychological problems of children of different age groups. The results showed positive relationships between the frequency of hospitalization and the later onset of the illness and the psychological problems among children. It also showed that children in the age group of 7 to 11 years had the highest number of problems compared with other age groups. The psychological healing aspects of the family and the culture on the children’s illnesses in the collectivist societies have been discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.313
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2013
Admission routes1
Has abstractyes

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